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fixing sql 2
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ishani07 committed Apr 12, 2024
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16 changes: 8 additions & 8 deletions docs/gradient_descent/gradient_descent.html
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2 changes: 2 additions & 0 deletions docs/index.html
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<meta name="author" content="Bella Crouch">
<meta name="author" content="Yash Dave">
<meta name="author" content="Ian Dong">
<meta name="author" content="Kanu Grover">
<meta name="author" content="Ishani Gupta">
<meta name="author" content="Sakshi Kolli">
Expand Down Expand Up @@ -294,6 +295,7 @@ <h1 class="title">Principles and Techniques of Data Science</h1>
<div class="quarto-title-meta-contents">
<p>Bella Crouch </p>
<p>Yash Dave </p>
<p>Ian Dong </p>
<p>Kanu Grover </p>
<p>Ishani Gupta </p>
<p>Sakshi Kolli </p>
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72 changes: 36 additions & 36 deletions docs/pandas_2/pandas_2.html
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</thead>
<tbody>
<tr class="odd">
<td data-quarto-table-cell-role="th">79462</td>
<td data-quarto-table-cell-role="th">331926</td>
<td>CA</td>
<td>F</td>
<td>1978</td>
<td>Rosalind</td>
<td>13</td>
<td>M</td>
<td>1995</td>
<td>Kohl</td>
<td>7</td>
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<td data-quarto-table-cell-role="th">160002</td>
<td>2002</td>
<td>Brieana</td>
<td data-quarto-table-cell-role="th">51257</td>
<td>1964</td>
<td>Tonie</td>
<td>5</td>
</tr>
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<td data-quarto-table-cell-role="th">81577</td>
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<td>Lucinda</td>
<td>21</td>
<td data-quarto-table-cell-role="th">137876</td>
<td>1996</td>
<td>Saki</td>
<td>6</td>
</tr>
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<td data-quarto-table-cell-role="th">98007</td>
<td>1985</td>
<td>Tammie</td>
<td>15</td>
<td data-quarto-table-cell-role="th">366718</td>
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<td>Keita</td>
<td>5</td>
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<td data-quarto-table-cell-role="th">267649</td>
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<td>Debra</td>
<td>11</td>
<td data-quarto-table-cell-role="th">369863</td>
<td>2010</td>
<td>Carlos</td>
<td>1133</td>
</tr>
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<td data-quarto-table-cell-role="th">316403</td>
<td>1989</td>
<td>Esai</td>
<td>9</td>
<td data-quarto-table-cell-role="th">403962</td>
<td>2021</td>
<td>Heber</td>
<td>6</td>
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</tbody>
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</thead>
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<td data-quarto-table-cell-role="th">152740</td>
<td data-quarto-table-cell-role="th">150028</td>
<td>2000</td>
<td>Shaniya</td>
<td>5</td>
<td>Mara</td>
<td>31</td>
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<td data-quarto-table-cell-role="th">152430</td>
<td data-quarto-table-cell-role="th">151231</td>
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<td>Diva</td>
<td>5</td>
<td>Alexcia</td>
<td>9</td>
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<td data-quarto-table-cell-role="th">344434</td>
<td data-quarto-table-cell-role="th">149360</td>
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<td data-quarto-table-cell-role="th">343226</td>
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<td>65</td>
<td>Kurtis</td>
<td>24</td>
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14 changes: 7 additions & 7 deletions docs/pandas_3/pandas_3.html
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4 changes: 2 additions & 2 deletions docs/regex/regex.html
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Expand Up @@ -704,11 +704,11 @@ <h4 data-number="6.2.1.2" class="anchored" data-anchor-id="canonicalization-with
<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a>county_and_state[<span class="st">'clean_county_pandas'</span>] <span class="op">=</span> canonicalize_county_series(county_and_state[<span class="st">'County'</span>])</span>
<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a>display(county_and_pop), display(county_and_state)<span class="op">;</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>/var/folders/7t/zbwy02ts2m7cn64fvwjqb8xw0000gp/T/ipykernel_49409/2523629438.py:3: FutureWarning:
<pre><code>/var/folders/7t/zbwy02ts2m7cn64fvwjqb8xw0000gp/T/ipykernel_61725/2523629438.py:3: FutureWarning:

The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.

/var/folders/7t/zbwy02ts2m7cn64fvwjqb8xw0000gp/T/ipykernel_49409/2523629438.py:3: FutureWarning:
/var/folders/7t/zbwy02ts2m7cn64fvwjqb8xw0000gp/T/ipykernel_61725/2523629438.py:3: FutureWarning:

The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.
</code></pre>
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6 changes: 3 additions & 3 deletions docs/sampling/sampling.html
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Expand Up @@ -722,7 +722,7 @@ <h4 data-number="9.3.3.3" class="anchored" data-anchor-id="simple-random-sample"
<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a>random_sample <span class="op">=</span> movie.sample(n, replace <span class="op">=</span> <span class="va">False</span>) <span class="co">## By default, replace = False</span></span>
<span id="cb13-3"><a href="#cb13-3" aria-hidden="true" tabindex="-1"></a>np.mean(random_sample[<span class="st">"barbie"</span>])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<pre><code>0.5311745261494285</code></pre>
<pre><code>0.5301227615221094</code></pre>
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<p>This is very close to the actual vote of 0.5302792307692308!</p>
Expand All @@ -740,7 +740,7 @@ <h4 data-number="9.3.3.3" class="anchored" data-anchor-id="simple-random-sample"
<span id="cb15-10"><a href="#cb15-10" aria-hidden="true" tabindex="-1"></a>Markdown(<span class="ss">f"**Actual** = </span><span class="sc">{</span>actual_barbie<span class="sc">:.4f}</span><span class="ss">, **Sample** = </span><span class="sc">{</span>sample_barbie<span class="sc">:.4f}</span><span class="ss">, "</span></span>
<span id="cb15-11"><a href="#cb15-11" aria-hidden="true" tabindex="-1"></a> <span class="ss">f"**Err** = </span><span class="sc">{</span><span class="dv">100</span><span class="op">*</span>err<span class="sc">:.2f}</span><span class="ss">%."</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="10">
<p><strong>Actual</strong> = 0.5303, <strong>Sample</strong> = 0.5450, <strong>Err</strong> = 2.78%.</p>
<p><strong>Actual</strong> = 0.5303, <strong>Sample</strong> = 0.5225, <strong>Err</strong> = 1.47%.</p>
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<p>We’ll learn how to choose this number when we (re)learn the Central Limit Theorem later in the semester.</p>
Expand Down Expand Up @@ -773,7 +773,7 @@ <h4 data-number="9.3.3.4" class="anchored" data-anchor-id="quantifying-chance-er
<div class="sourceCode cell-code" id="cb18"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a>poll_result <span class="op">=</span> pd.Series(poll_result)</span>
<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a>np.<span class="bu">sum</span>(poll_result <span class="op">&gt;</span> <span class="fl">0.5</span>)<span class="op">/</span><span class="dv">1000</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="13">
<pre><code>0.956</code></pre>
<pre><code>0.936</code></pre>
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</div>
<p>You can see the curve looks roughly Gaussian/normal. Using KDE:</p>
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